Person re-identification (ReID) aims to retrieve people appearing at different locations and moments from the over-lapped cameras.
The deep learning-based approaches for person ReID can achieve promising performance on popular benchmarks [1]}, which enables the applications of person ReID in many computer vision-based applications, such as city surveillance, suspect tracking, and urban analysis.
